Computer Vision Research Engineer

22 hours ago

Others, India Yo Hr Consultancy Full time ₹ 8,00,000 - ₹ 24,00,000 per year

Description :

- Experience : 2 5 Years.

Core Responsibilities :

- Architect and develop novel deep learning and machine learning neural network architectures, including generative AI models.

- Design, develop, and refine VisionLanguage Model (VLM) architectures and integrate them with generative AI techniques for advanced multimodal understanding and generation.

- Spearhead the New Product Development (NPD) process to deliver innovative, differentiated products and solutions that provide clear consumer advantages and exceed market benchmarks.

- Engineer and implement advanced computer vision and deep learning algorithms to address complex scene understanding and multimodal interpretation challenges.

- Analyze experimental visual and contextual data to identify and implement performance improvement strategies.

- Deploy algorithms into operational prototypes and real-time system demonstrations.

- Lead and manage cross-functional teams to ensure seamless integration with related functions.

Job Requirements :

- Tech or Bachelor's degree in Computer Science, AI, Electrical/Electronic Engineering, or a related discipline.

years of experience in computer vision, generative AI, VisionLanguage Models (VLM), multimodal systems, and image processing.

- Strong background in designing image understanding, multimodal, and cross-domain learning algorithms.

- Practical experience deploying real-time VisionLanguage Models (VLMs).

- Experience with acceleration frameworks such as NVIDIA TensorRT, DeepStream, and Intel OpenVINO is preferred.

- Proficiency in Python and/or C++.

- Experience containerizing and orchestrating applications with Docker and Kubernetes.

- Knowledge of pattern recognition and Edge AI product development.

- Strong ability to review code, design architectures, and document core components.

- Familiarity with research and development practices and industry standards.

Preferred : Hands-on experience with Natural Language Processing (NLP) and integrating visual and textual signals for multimodal systems.

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